Journal of System Simulation
Abstract
Abstract: Aiming at the characteristics of the multivariable, strong coupling and large time delay of the grinding classification system, the improved inverse decoupling active disturbance rejection internal model control method is proposed. The inverse decoupling method is used to realize the decoupling of the grinding classification system, and the improved internal model control and linear active disturbance rejection control are adopted for the decoupled subsystem. By introducing the internal model compensator and the gain to compensate the time delay, the dependence of the system upon the model is reduced .The model mismatch, external disturbance and uncertainties are suppressed by adjusting the parameters of the linear active disturbance rejection controller, the internal model compensator and gain. The simulation results show that the improved inverse decoupling active disturbance rejection internal model control method has the better decoupling performance, tracking performance and robust performance. The method is proved to be effective.
Recommended Citation
Ying, Zhou; Jia, Qiaojuan; Yan, Zhang; and Chang, Mingxin
(2020)
"Application of Improved Inverse Decoupling Active Disturbance Rejection Internal Model Control in Grinding,"
Journal of System Simulation: Vol. 32:
Iss.
5, Article 10.
DOI: 10.16182/j.issn1004731x.joss.18-0527
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss5/10
First Page
837
Revised Date
2018-10-31
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0527
Last Page
847
CLC
TP391.9
Recommended Citation
Zhou Ying, Jia Qiaojuan, Zhang Yan, Chang Mingxin. Application of Improved Inverse Decoupling Active Disturbance Rejection Internal Model Control in Grinding[J]. Journal of System Simulation, 2020, 32(5): 837-847.
DOI
10.16182/j.issn1004731x.joss.18-0527
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